Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems
- DOI
- 10.1038/s41598-024-62625-8
- Published
- 2024-05-21
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1038/s41598-024-62625-8,
title = {Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems},
author = {Maria Chiara Angelini and Angelo Giorgio Cavaliere and Raffaele Marino and Federico Ricci-Tersenghi},
year = {2024},
journal = {Scientific Reports},
doi = {10.1038/s41598-024-62625-8},
url = {https://doi.org/10.1038/s41598-024-62625-8}
}RIS
TY - JOUR TI - Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems AU - Maria Chiara Angelini AU - Angelo Giorgio Cavaliere AU - Raffaele Marino AU - Federico Ricci-Tersenghi PY - 2024 JO - Scientific Reports DO - 10.1038/s41598-024-62625-8 UR - https://doi.org/10.1038/s41598-024-62625-8 ER -
APA
Angelini, M. C., Cavaliere, A. G., Marino, R., & Ricci-Tersenghi, F. (2024). Stochastic Gradient Descent-like relaxation is equivalent to Metropolis dynamics in discrete optimization and inference problems. Scientific Reports. https://doi.org/10.1038/s41598-024-62625-8
Source records
- crossref · retrieved 2026-09-25T18:19:06.372Z